Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
about
StreAM-[Formula: see text]: algorithms for analyzing coarse grained RNA dynamics based on Markov models of connectivity-graphs.Estimating the intrinsic dimension of datasets by a minimal neighborhood information.RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview.Physics-based all-atom modeling of RNA energetics and structure.Theoretical restrictions on longest implicit time scales in Markov state models of biomolecular dynamics.
P2860
Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
description
2016 nî lūn-bûn
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2016年の論文
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2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
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2016年论文
@zh-cn
name
Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
@ast
Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
@en
Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
@nl
type
label
Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
@ast
Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
@en
Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
@nl
prefLabel
Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
@ast
Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
@en
Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
@nl
P2093
P2860
P356
P1476
Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.
@en
P2093
David E Condon
Fabian Paul
Giovanni Pinamonti
Jianbo Zhao
P2860
P304
P356
10.1021/ACS.JCTC.6B00982
P577
2017-01-05T00:00:00Z
P698
P818
1612.07470